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MCP server · AI

Askimo

by · github.com/haiphucnguyen/askimo

AI Native App Client App with Built-in Knowledge Base & Multi-Provider Support (OpenAI, Gemini, Ollama, ...)

Unclaimed AGPL-3.0 last commit 6 months ago gemini-clientchatgptllmai-assistantartificial-intelligencedesktop-applangchain4jgeminiai
InstallView source
70Good

Scored 4 months ago · breakdown

About Askimo

Askimo is an MCP server published by haiphucnguyen in the AI category: aI Native App Client App with Built-in Knowledge Base & Multi-Provider Support (OpenAI, Gemini, Ollama, ...). It has been installed 0 times through Conduid.

The repository has 34 stars and 6 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx askimo

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Askimo

Powered by Claude · Grounded in docs

I know everything about Askimo. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Why Askimo?

You shouldn't have to choose between the best AI model, your privacy, and getting real work done.

  • One app, every model. Stop juggling browser tabs. Chat with OpenAI, Claude, Gemini, Grok, or a local Ollama model, switch in seconds, no copy-pasting.
  • Built as a native desktop app. Not a web wrapper. Starts fast, runs lean, and stays responsive even after hours of use and thousands of messages in a single conversation.
  • Long conversations that actually work. No crashes, no tab reloads, no lost context. Askimo handles deep, extended sessions the way a real desktop app should.
  • Your files stay on your machine. Search and chat with your own documents using local RAG. Nothing is uploaded. Nothing leaves your device.
  • More than just chat. Run Python/Bash scripts, chain multi-step AI workflows, and connect MCP tools, all from the same app.

See It in Action

Multi-step AI Plans - fill in a form, get a finished deliverable:

Askimo Plans Demo

RAG - search and chat with your local files:

Askimo RAG Demo

Script runner - execute Python, Bash, and JavaScript from chat:

Askimo Run Script Demo

MCP tools - connect any MCP-compatible server:

Askimo MCP Demo

Quick Start

Download for macOS, Windows, or Linux →

  1. Install and open Askimo
  2. Add a provider - paste an API key (OpenAI, Claude, Gemini…) or point it at a running Ollama instance
  3. Start chatting

Full setup guide →

System Requirements
OS macOS 11+, Windows 10+, Linux (Ubuntu 20.04+, Debian 11+, Fedora 35+)
Memory 50–300 MB (AI models require additional memory depending on provider)
Disk 250 MB

Features

  • Multi-provider - Switch between OpenAI, Claude, Gemini, Grok, Ollama, LM Studio, LocalAI, Docker AI, or any OpenAI-compatible endpoint per session
  • Local RAG - Index local folders, files, and web URLs. Hybrid BM25 + vector retrieval with an AI classifier that skips retrieval when the query doesn't need it. Your data never leaves your machine.
  • Plans (agentic workflows) - Chain multi-step AI pipelines from a form UI. Each step builds on the previous; progress shown live. Export as PDF or Word. Define your own plans in YAML or generate them by describing your workflow in plain English.
  • Script runner - Execute Python, Bash, and JavaScript from chat. Python runs in an auto-managed virtualenv with automatic dependency installation.
  • MCP tool integration - Connect MCP-compatible servers via stdio or HTTP, scoped globally or per project
  • Persistent sessions - Conversations stored in a local SQLite database, restored on restart
  • Vision - Attach images to conversations; works with any multimodal model
  • CLI - Native binary (GraalVM). Scriptable, automatable, headless-friendly.
  • Local telemetry - Token usage, cost estimates, RAG performance per provider. Nothing uploaded.
  • i18n - English, Chinese (Simplified & Traditional), Japanese, Korean, French, Spanish, German, Portuguese, Vietnamese

Plans - Multi-Step AI Workflows

A single prompt cannot reason properly across multiple stages. Ask one prompt to research, analyse, and conclude simultaneously and the AI skips the dependencies between those stages.

Plans mirror how experts actually think: each step has one focused job and one persona - researcher, analyst, strategist, writer. The output of each step feeds into the next as grounded context. No copy-pasting. No re-prompting.

Built-in plans:

Plan What it does
💼 Job Application Writer Analyses a job description, matches your CV, writes a tailored cover letter and ATS-optimised resume
✍️ Blog Post Writer Generates an outline, writes the full draft, adds SEO metadata, outputs the polished post
🏆 Competitor Analysis Profiles a competitor, compares against your product, produces a strategic opportunities report
📋 Meeting Notes Processor Structures raw notes, extracts action items with owners, produces shareable minutes
📝 Research Report Researches a topic and writes a structured report with executive summary and key findings
📧 Email Writer Drafts and self-refines a professional email from a one-line description

Create your own: describe your workflow in plain English - the AI generates valid plan YAML instantly. Fine-tune in the built-in editor or duplicate any built-in plan as a starting point.

Supported Providers

Cloud: OpenAI · Anthropic Claude · Google Gemini · xAI Grok
Local: Ollama · LM Studio · LocalAI · Docker AI
Custom: Any OpenAI-compatible endpoint via custom base URL

CLI (Optional)

# macOS/Linux
curl -sSL https://raw.githubusercontent.com/haiphucnguyen/askimo/main/tools/installation/install.sh | bash

# Windows (PowerShell)
iwr -useb https://raw.githubusercontent.com/haiphucnguyen/askimo/main/tools/installation/install.ps1 | iex

CLI documentation →

Building from Source

Prerequisites

  • JDK 21+
  • Git
git clone https://github.com/haiphucnguyen/askimo.git
cd askimo

# Run the desktop app
./gradlew :desktop:run

# Build native installers
./gradlew :desktop:package

# Build CLI native binary (requires GraalVM)
./gradlew :cli:nativeCompile

Project Structure

Module Description
desktop/ Compose Multiplatform desktop application
desktop-shared/ Shared UI components
cli/ JLine3 REPL + GraalVM native image
shared/ Core: providers, RAG, MCP, memory, tools, database, plans engine

See CONTRIBUTING.md for development guidelines and DCO requirements, or the Development Getting Started Guide.

Localization

English · 中文 (简体/繁體) · 日本語 · 한국어 · Français · Español · Deutsch · Português · Tiếng Việt

Want to add a language? Open a discussion.

Getting Help

Contributing

Bug reports, feature requests, and pull requests are welcome. See CONTRIBUTING.md for details.

License

AGPLv3. See LICENSE.

Star History

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Askimo

How do I install Askimo?

Run npx askimo, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Askimo safe to use with an AI agent?

Its trust score is 70 out of 100 (good). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Askimo still maintained?

The last commit was 6 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.